Field trial on TDD massive MIMO system with polar code

Wang, Wenhui; Liang, Wenliang; Li, Bojie; Li, Gu; Sheng, Jie; Qiu, Pengcheng; Wang, Jian; Wang, Yuanquan

doi:10.1109/pimrc.2017.8292320

Cited by 16 publications

(12 citation statements)

References 9 publications

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“…One of the earliest problems reported in field trials of NR is the limited performance of MU-MIMO communications as a result of outdated CSIT due to mobility. The processing delay in the system is reported to become larger than the coherence time of the channel even when the users are moving with a speed of 30km/h, making the CSIT useless for multi-user beamforming [1]. It is expected that the effects of mobility will be encountered more frequently and severely in 6G, and thus, the problem calls for an urgent solution.…”

Section: B Rsma For Embb With Enhanced Data Ratementioning

confidence: 99%

“…The transmitter employs Zero-Forcing (ZF) precoders for the private streams and a random beamformer for the common stream. The transmit signal for the considered system model is written as in (1) with p c = P (1 − t)f c and p k = P t K f k , where f c , f k ∈ C nt satisfy ||f c || 2 = 1 and ||f k || 2 = 1, ∀k ∈ K and P is the total transmit power. The power allocation coefficient t determines the distribution of power among the common precoder and the private precoders, and effectively controls the splitting of the user rates.…”

Section: B Rsma For Embb With Enhanced Data Ratementioning

confidence: 99%

“…As discussions on 6G progress, it becomes more evident that the requirements for core services and applications are much stricter than those in New Radio (NR). On the other hand, key enabling technologies of NR, such as Multi-User Multiple-Input Multiple-Output (MU-MIMO) in the form of Space Division Multiple Access (SDMA), encounter problems in satisfying the requirements of NR in real-life applications [1]- [3]. Though attractive in MIMO Gaussian Broadcast Channel (BC) with perfect Channel State Information at the transmitter (CSIT) for achieving the entire Degree-of-Freedom (DoF) region [4], multi-user linear precoding with treat interference as noise receivers (as used in SDMA/MU-MIMO in 4G/5G) is highly sensitive to CSIT inaccuracy, which leads to severe data rate degradation in practical scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Rate-Splitting Multiple Access for Enhanced URLLC and eMBB in 6G

Dizdar,

Mao,

et al. 2021

Preprint

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Rate-Splitting Multiple Access (RSMA) is a flexible and robust multiple access scheme for downlink multi-antenna wireless networks. RSMA relies on Rate-Splitting (RS) at the transmitter and Successive Interference Cancellation (SIC) at the receivers. In this work, we study the performance of RSMA in the scenarios related with the important core services of New Radio (NR) and 6G, namely, enhanced Ultra-Reliable and Low-Latency (URLLC) and enhanced Mobile Broadband Communications (eMBB). We present the optimal system designs employing RSMA that target short-packet and low-latency communications as well as robust communications with high-throughput under the practical and important setup of imperfect Channel State Information at Transmitter (CSIT) originating from user mobility and latency/delay (between CSI acquisition and data transmission) in the network. We demonstrate via numerical results that RSMA achieves significantly higher performance than Space Division Multiple Access (SDMA) and Non-Orthogonal Multiple Access (NOMA), and is capable of addressing the requirements for enhanced URLLC and eMBB in 6G efficiently.

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Section: B Rsma For Embb With Enhanced Data Ratementioning

confidence: 99%

Section: B Rsma For Embb With Enhanced Data Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rate-Splitting Multiple Access for Enhanced URLLC and eMBB in 6G

Dizdar,

Mao,

et al. 2021

Preprint

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“…Despite the technology hype and great expectations behind massive MIMO, some of the latest field trials have unfortunately been more than disappointing when it comes to actual system performance (see [9] for example). In particular it appeared that CSI acquisition can be severely affected in mobility scenarios.…”

Section: Introductionmentioning

confidence: 99%

Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions

Yin

Wang

Liu

et al. 2019

Preprint

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Massive MIMO is widely touted as an enabling technology for 5th generation (5G) mobile communications and beyond. On paper, the large excess of base station (BS) antennas promises unprecedented spectral efficiency gains. Unfortunately, during the initial phase of industrial testing, a practical challenge arose which threatens to undermine the actual deployment of massive MIMO: user mobility-induced channel Doppler. In fact, testing teams reported that in moderate-mobility scenarios, e.g., 30 km/h of user equipment (UE) speed, the performance drops up to 50% compared to the low-mobility scenario, a problem rooted in the acute sensitivity of massive MIMO to this channel Doppler, and not foreseen by many theoretical papers on the subject. In order to deal with this "curse of mobility", we propose a novel form of channel prediction method, named Prony-based angulardelay domain (PAD) prediction, which is built on exploiting the specific angle-delay-Doppler structure of the multipath. In particular, our method relies on the very high angular-delay resolution which arises in the context of 5G. Our theoretical analysis shows that when the number of base station antennas and the bandwidth are large, the prediction error of our PAD algorithm converges to zero for any UE velocity level, provided that only two accurate enough previous channel samples are available. Moreover, when the channel samples are inaccurate, we propose to combine the PAD algorithm with a denoising method for channel estimation phase based on the subspace structure and the long-term statistics of the channel observations. Simulation results show that under a realistic channel model of 3GPP in rich scattering environment, our proposed method is able to overcome this challenge and even approaches the performance of stationary scenarios where the channels do not vary at all.

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“…Since their invention by Arikan, polar codes have been well investigated in the literature. Recent studies [11][12][13] have demonstrated the superior performance of polar codes compared to low-density parity-check (LDPC) and turbo codes in the context of 5G test scenarios.…”

Section: Implementation Of Polar Code Decoders For 5gmentioning

confidence: 99%

Efficient Log Likelihood Ratio Estimation for Polar Codes

Hasan¹

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First, I thank God, the Gracious and the Merciful, for His countless blessings.I am truly honored and fortunate to have been advised by Prof. Ian D. Marsland. This thesis would not have been possible without his guidance and support. He has been a constant source of inspiration, knowledge, and creativity. I feel I am one of the few lucky persons whose supervisor is a guide and teacher put together. His doors were always open for discussions which range from coding theory to programming tactics. I would also like to acknowledge his efforts to improve my writing skills which were non-existent before. For all the above and many other reasons I would like to express my deepest gratitude and appreciation to him.

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Field trial on TDD massive MIMO system with polar code

Cited by 16 publications

References 9 publications

Rate-Splitting Multiple Access for Enhanced URLLC and eMBB in 6G

Rate-Splitting Multiple Access for Enhanced URLLC and eMBB in 6G

Addressing the curse of mobility in massive MIMO with Prony-based angular-delay domain channel predictions

Efficient Log Likelihood Ratio Estimation for Polar Codes

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